Protective net structure design method and device, electronic equipment and medium

Abstract

The embodiment of the invention relates to the technical field of civil engineering structure design and artificial intelligence, and provides a protective net structure design method and device, electronic equipment and a medium, and the method comprises the steps: obtaining full-dimensional design parameters of an initially designed protective net structure; performing layer semantic processing on the full-dimensional design parameters to obtain a plurality of structural components and a relevance control relationship between the structural components, and constructing a parameterized geometric topology model; determining the mechanical property of each structural component based on the full-dimensional design parameters; generating a computational grid model based on the mechanical characteristics of each structural component and the parameterized geometric topology model; based on the computational grid model, matching a material attribute for each structural component, and generating a keyword file; and performing compliance verification on the keyword file, and determining at least one target protective net structure based on the keyword file passing the verification. Therefore, efficient parametric modeling of the protective net structure is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of civil engineering structure design and artificial intelligence technology, and in particular to a protective net structure design method and device, an electronic device and a medium. BACKGROUND

[0002] As an important engineering structure for slope protection and rockfall interception, the design and analysis of flexible passive protective nets face technical challenges such as complex modeling and difficult parameter adjustment. Traditional protective net structure design mainly relies on empirical formulas and simplified models, and the modeling process requires a lot of manual operation, which is time-consuming and inefficient. Although existing design software can realize three-dimensional modeling, it lacks parameterization constraint mechanism, and when the design parameters need to be adjusted, it often needs to be re-modeled, which cannot quickly respond to design change requirements. In the finite element analysis link, the steps of mesh generation, material definition and boundary condition setting are tedious and prone to human errors, resulting in insufficient reliability of the calculation results. In addition, the traditional method lacks an effective model verification mechanism, and the error rate of key files is high, and the calculation fails frequently. With the development of protective engineering towards intelligence and refinement, it is urgent to develop a protective net structure design method that integrates parameterized modeling, automated analysis and intelligent verification, to improve the design efficiency and analysis accuracy, and meet the technical needs of modern protective engineering. SUMMARY

[0003] The present application provides a protective net structure design method, device, electronic device and medium, to solve the defects of lack of parameterization, automation and intelligent means in the prior art protective net structure design, manual modeling, parameter adjustment by redrawing and verification by experience, resulting in low efficiency, easy to make mistakes and difficult to optimize, and realizing efficient parameterized modeling of protective net structure.

[0004] The present application provides a protective net structure design method, comprising: obtaining full-dimensional design parameters of an initial designed protective net structure; performing layer semantic processing on the full-dimensional design parameters to obtain the correlation control relationship between each structure component and a plurality of structure components, and constructing a parameterized geometric topology model; determining the mechanical properties of each structure component based on the full-dimensional design parameters; generating a calculation grid model based on the mechanical properties of each structure component and the parameterized geometric topology model; based on the calculation grid model, matching material properties for each structure component to generate a key file; performing compliance verification on the key file, and determining at least one target protective net structure based on the verified key file.

[0005] In one possible implementation, the method further comprises: layer semantic processing is performed on the full-dimension design parameters to construct a hierarchical component system of the initial design of the protective net structure; Based on the constraint-driven parameterized modeling mechanism, the geometric morphology of the hierarchical component system and the correlation control relationship between each structural component are defined through multiple control parameters to construct a parameterized geometric topology model.

[0006] In one possible implementation, the method further comprises: A hierarchical export method is adopted to export each type of structural component to a preset data format based on the parameterized geometric topology model and the mechanical properties of each structural component; Based on the preset data format of each type of structural component, a corresponding unit type is applied to generate a structural component coordination grid of a mixed unit type; A contact identification algorithm is adopted to set the contact pair definition, sliding constraint and boundary condition between each structural component in the structural component coordination grid to establish a mechanical calculation model; Based on the mechanical calculation model, a calculation grid model is generated, which is a standardized grid file.

[0007] In one possible implementation, the method further comprises: The calculation grid model is subjected to semantic recognition, and material properties are configured for each structural component based on the semantic recognition result, and a keyword file is generated based on the configuration data of each structural component.

[0008] In one possible implementation, the method further comprises: The keyword file is input into a pre-trained large language model for compliance verification, which includes syntax integrity check, physical quantity dimension consistency verification, parameter reasonableness evaluation and calculation convergence prediction.

[0009] In one possible implementation, the method further comprises: The keyword file that passes the verification is subjected to structural mechanics performance analysis, and corresponding analysis data in the analysis result is extracted according to a preset key mechanical index; When the analysis data does not meet the preset key mechanical index, the corresponding parameter item in the full-dimension design parameters is adjusted until all the analysis data meet the preset key mechanical index, and at least one target protective net structure is obtained.

[0010] The application also provides a protective net structure design device, comprising the following modules: An acquisition module is configured to acquire full-dimension design parameters of an initial design of a protective net structure; The construction module is configured to perform layer semantic processing on the full-dimension design parameter to obtain a plurality of structural components and an association control relationship between each structural component, and to construct a parameterized geometric topology model; The determination module is configured to determine the mechanical property of each structural component based on the full-dimension design parameter. The generation module is configured to generate a calculation grid model based on the mechanical property of each structural component and the parameterized geometric topology model. The generation module is further configured to match a material attribute for each structural component based on the calculation grid model, and to generate a keyword file. The determination module is further configured to perform compliance verification on the keyword file, and to determine at least one target protective net structure based on the keyword file that passes the verification.

[0011] The present application also provides an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the protective net structure design method of any of the above when executing the computer program.

[0012] The present application also provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the protective net structure design method of any of the above.

[0013] The present application also provides a computer program product, which includes a computer program, and the computer program is executed by a processor to implement the protective net structure design method of any of the above.

[0014] The application provides a protective net structure design method and device, electronic equipment and a medium, which comprises the following steps: obtaining full-dimension design parameters of an initial design protective net structure; performing layer semantic processing on the full-dimension design parameters to obtain an association control relationship between a plurality of structure components and each structure component, and constructing a parameterized geometric topology model; determining the mechanical properties of each structure component based on the full-dimension design parameters; generating a calculation grid model based on the mechanical properties of each structure component and the parameterized geometric topology model; matching material properties for each structure component based on the calculation grid model, and generating a keyword file; performing compliance verification on the keyword file, and determining at least one target protective net structure based on the keyword file that passes the verification. Compared with the prior art, the method has the defects of low efficiency, easy errors and difficult optimization, and relies on manual modeling, re-drawing for parameter adjustment and experience for verification. The application establishes a multi-dimension parameter constraint intelligent geometric topology model, realizes efficient parameterized modeling of the protective net structure, significantly shortens the modeling cycle, guarantees the quality and accuracy of the calculation grid through a multi-scale grid adaptive generation mechanism, improves the analysis reliability, greatly reduces the error rate of the keyword file through an intelligent verification engine integrated with a large language model, reduces the calculation failure risk, realizes automatic adjustment and optimization of the design parameters through a closed-loop parameter optimization iteration framework, and improves the design efficiency. The method significantly improves the modeling efficiency and analysis accuracy of the protective net structure design, solves the key technical problems of long modeling cycle, difficult parameter adjustment and high calculation error rate in the traditional method, and provides important technical support for intelligent design of protective engineering. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without any creative effort.

[0016] Figure 1 is one of the flowcharts of the protective net structure design method provided by the application.

[0017] Figure 2 is another flowchart of the protective net structure design method provided by the application.

[0018] Figure 3 is one of the parameterized geometric models of the typical flexible protective net structure provided by the application.

[0019] Figure 4 is another parameterized geometric model of the typical flexible protective net structure provided by the application.

[0020] Figure 5 is a parameterized geometric model of a typical flexible protective net structure provided by the present application.

[0021] Figure 6 is a finite element calculation grid model of a typical flexible protective net structure provided by the present application.

[0022] Figure 7 is an intelligent checking schematic diagram of a finite element calculation keyword file provided by the present application.

[0023] Figure 8 is a schematic diagram of a rockfall impact deformation form in a finite element analysis calculation result of a typical flexible protective net structure provided by the present application.

[0024] Figure 9 is a schematic diagram of a rockfall impact force system response result provided by the present application.

[0025] Figure 10 is a schematic diagram of a support rope internal force peak value system response result provided by the present application.

[0026] Figure 11 is a schematic diagram of a support steel column internal force peak value system response result provided by the present application.

[0027] Figure 12 is a schematic diagram of a pull anchor rope internal force peak value system response result provided by the present application.

[0028] Figure 13 is a schematic diagram of a protective net structure design device provided by the present application.

[0029] Figure 14 is a schematic diagram of an electronic device provided by the present application. DETAILED DESCRIPTION

[0030] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below with reference to the drawings in the present application. Obviously, the described embodiments are some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0031] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below with reference to the drawings in the present application. Obviously, the described embodiments are some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0032] Figure 1 is one of flowcharts of a protective net structure design method provided by the present application, as shown in Figure 1 the method comprises the following. S11, obtain full-dimensional design parameters of an initial design of a protective net structure.

[0033] Obtain full-dimensional design parameters of an initial design of a protective net structure, which is generally a flexible passive protective net. The full-dimensional design parameters include geometric parameters (span, column height, column inclination angle, ring size, ring spacing), connection parameters (shackle type, anchoring position, rope passing method), material parameters (support rope specification, anchor rope specification, steel column specification, ring specification), energy dissipation parameters (energy dissipation device configuration), and boundary condition parameters (overall size of the counterforce wall, anchoring point arrangement rule).

[0034] S12, perform layer semantic processing on the full-dimensional design parameters to obtain a plurality of structural components and an associated control relationship between each structural component, and construct a parameterized geometric topology model.

[0035] Perform layer semantic processing on the full-dimensional design parameters to construct a hierarchical component system of the initial design of the protective net structure; based on a constraint-driven parameterized modeling mechanism, define the geometric form of the hierarchical component system and the associated control relationship between each structural component through a plurality of control parameters, and construct a parameterized geometric topology model.

[0036] Specifically, based on a multi-dimensional parameter constraint parameterized modeling engine, an intelligent geometric topology model of a standardized protective net structure is constructed, a hierarchical cascading modeling strategy is adopted, and hierarchical expression and associated control of structural components are achieved through layer semantic management.

[0037] Specifically, a hierarchical component system of the protective net structure is established, including a main structure layer (column system, ring net system), a connection system layer (shackle, node connecting piece), a constraint system layer (support rope, anchor rope, auxiliary rope), an energy dissipation system layer (energy dissipation device, buffer device), and a boundary system layer (counterforce wall, anchoring point). Based on a constraint-driven parameterized modeling mechanism, the geometric form is completely defined through 12 core control parameters: span L, column height H, upper and lower shackle area empty length D1 and D2, projection angle α of the upper anchor rope with the horizontal plane, overall inclination angle β of the system, ring net edge distance parameter E, ring net radius R, ring spacing S, local rotation angle γ of the ring body, counterforce wall geometric parameter W, and anchoring point arrangement spacing P. An intelligent mapping conversion algorithm of parameter-geometric properties is established, and through topological constraint relationship and geometric transformation matrix, automatic and accurate conversion of control parameters to component geometric properties is achieved.

[0038] S13, determine the mechanical properties of each structural component based on the full-dimensional design parameters.

[0039] S14, generate a calculation grid model based on the mechanical properties of each structural component and the parameterized geometric topology model.

[0040] A multi-scale grid adaptive generation mechanism for finite element analysis is established, and differentiated grid density control and quality optimization are realized according to the mechanical properties and calculation accuracy requirements of different layer components, so as to generate a high-quality calculation grid model.

[0041] Specifically, a hierarchical export method is adopted, and each type of structural component is exported to a preset data format based on the geometric topology model and the mechanical properties of each structural component. Based on the preset data format of each type of structural component, a corresponding unit type is applied to generate a mixed unit type structural component coordination grid. A contact recognition algorithm is used to set the contact pair definition, slip constraint and boundary condition between each structural component in the structural component coordination grid, and a mechanical calculation model is established. A calculation grid model is generated based on the mechanical calculation model, and the calculation grid model is a standardized grid file.

[0042] More specifically, in the implementation of multi-scale grid adaptive generation, a hierarchical export strategy is adopted, and the parameterized model is exported to a STEP / IGES standard three-dimensional data format according to the component type and mechanical properties, ensuring complete transmission of geometric information. A component-oriented grid generation strategy is established, linear components (rope type) are divided into beam elements, planar components (mesh) are divided into shell elements, and block components (columns, energy absorbers) are divided into solid elements, realizing mixed unit type coordination grid division. Intelligent naming rules and contact recognition algorithms are integrated to automatically set the contact pair definition, slip constraint and boundary condition between components, and a complete mechanical calculation model is established. A standardized grid file template is generated to provide a unified data interface for subsequent material definition and load application.

[0043] S15, based on the calculation grid model, matching material properties for each structural component, generating a keyword file.

[0044] A material property automatic matching system based on semantic recognition is constructed, and through a standardized keyword library and an intelligent mapping algorithm, the automatic configuration of material parameters, contact definition and load conditions and the automatic generation of a keyword file are realized.

[0045] Specifically, in the construction of the intelligent keyword generation system, a standardized knowledge base system of finite element keywords is established, including a material library, an element library, a contact library, a load library and a solution control library, forming a structured keyword template set. A parameter mapping engine based on semantic analysis is developed, and through a three-layer mapping mechanism of "parameter identifier-physical meaning-keyword syntax", intelligent conversion of user input parameters to standard keywords is realized. The parameter verification and conflict detection mechanism is integrated to automatically identify parameter input errors, type mismatches and logical conflicts, and to ensure the correctness and integrity of the generated keywords.

[0046] S16, performing compliance verification on the keyword file, and determining at least one target protective net structure based on the keyword file passing the verification.

[0047] The keyword file is input into a pre-trained large language model for compliance verification, which includes syntax integrity check, physical dimension consistency verification, parameter reasonableness evaluation and calculation convergence prediction.

[0048] Performing structural mechanics performance analysis on the keyword file passing the verification, and extracting corresponding analysis data in the analysis result according to the preset key mechanical indicators; when the analysis data does not meet the preset key mechanical indicators, adjusting the corresponding parameter item in the full-dimensional design parameter until all the analysis data meet the preset key mechanical indicators, obtaining at least one target protective net structure.

[0049] Specifically, the structural mechanics performance automatic analysis based on parallel computing architecture is performed, and the key mechanical indicators are intelligently extracted, including rockfall impact force, support rope internal force peak value, support steel column internal force peak value and pull anchor rope internal force peak value; a closed-loop parameter optimization iteration framework is constructed, and through an intelligent parameter adjustment strategy, a full-process automatic analysis cycle of "parameter updating-geometric reconstruction-grid regeneration-computational analysis-result evaluation" is automatically executed to realize intelligent design optimization of the protective net structure.

[0050] Specifically, the intelligent verification engine of the large language model is integrated, and a multi-level verification system is established, including syntax integrity check, physical dimension consistency verification, parameter reasonableness evaluation and calculation convergence prediction, to ensure the correctness and reliability of the keyword file.

[0051] In the implementation of the large model intelligent checking system, a multi-level checking architecture dedicated to finite elements is constructed: a keyword dictionary and a syntax analysis tree are established at the syntax level to ensure the grammatical normativity of keywords; a physical quantity dimension checking rule and a parameter rationality threshold library are established at the semantic level to verify the physical consistency of mechanical parameters and geometric parameters; a model integrity checking and calculation convergence pre-evaluation mechanism is established at the logic level. An intelligent correction strategy based on confidence evaluation is developed: high-confidence errors are automatically corrected, medium-confidence errors are marked for reminders, low-confidence errors are confirmed manually, and a hierarchical correction guarantee mechanism is established. A multi-dimensional risk assessment system is integrated, including material attribute out-of-boundary detection, load case rationality evaluation, boundary condition completeness verification, and potential numerical calculation risk warning, to ensure the reliability and stability of the calculation model. An automatic analysis of structural mechanics performance based on parallel computing architecture is performed, and key mechanical indicators are intelligently extracted, including rockfall impact force, support rope internal force peak value, support steel column internal force peak value, tension anchor rope internal force peak value, interception net maximum deformation, and energy absorber energy dissipation ratio. A closed-loop parameter optimization iteration framework is constructed, and through an intelligent parameter adjustment strategy, the full-process automatic analysis cycle of "parameter update → geometric reconstruction → mesh regeneration → calculation analysis → result evaluation" is automatically executed, realizing the intelligent design optimization of the protective net structure.

[0052] The application provides a protective net structure design method, which comprises the following steps: obtaining full-dimension design parameters of an initial design protective net structure; performing layer semantic processing on the full-dimension design parameters to obtain a plurality of structure components and an association control relationship between each structure component, and constructing a parameterized geometric topology model; determining the mechanical properties of each structure component based on the full-dimension design parameters; generating a calculation grid model based on the mechanical properties of each structure component and the parameterized geometric topology model; matching material properties for each structure component based on the calculation grid model, and generating a keyword file; performing compliance verification on the keyword file, and determining at least one target protective net structure based on the keyword file that passes the verification. Compared with the prior art, the method can realize efficient parameterized modeling of the protective net structure by establishing a multi-dimension parameter constraint intelligent geometric topology model, significantly shorten the modeling cycle, ensure the quality and accuracy of the calculation grid through a multi-scale grid self-adaptive generation mechanism, improve the analysis reliability, significantly reduce the error rate of the keyword file through an intelligent verification engine integrated with a large language model, reduce the calculation failure risk, realize the automatic adjustment and optimization of the design parameters through a closed-loop parameter optimization iteration framework, and improve the design efficiency. The method significantly improves the modeling efficiency and analysis accuracy of the protective net structure design, solves the key technical problems of long modeling cycle, difficult parameter adjustment and high calculation error rate in the traditional method, and provides important technical support for the intelligent design of protective engineering.

[0053] Figure 2 is a flowchart of the protective net structure design method provided by the application, as shown in Figure 2 The method specifically comprises the following steps. S21, performing layer semantic processing on the full-dimension design parameters to construct a hierarchical component system of the initial design protective net structure.

[0054] In the embodiment of the application, first, the full-dimension design parameters of the flexible passive protective net structure are obtained, including geometric parameters (span, column height, column inclination angle, net ring size, net ring interval), connection parameters (shackle type, anchoring position, rope passing mode), material parameters (support rope specification, anchor rope specification, steel column specification, net ring specification), energy dissipation parameters (energy dissipation device configuration) and boundary condition parameters (overall size of counterforce wall, counterforce wall anchoring point arrangement rule).

[0055] The geometric parameters are as follows: span 11 m, column height 7.5 m, column inclination angle 5°, net ring size 0.3 m, and net ring interval 0.404 m. Connection parameters: Shackle model G209-BW9.5, anchorage position extended 12m, rope threading method is the inherent method of main and auxiliary rope system; Material parameters: support rope specification 4×20mm, anchor rope specification 2×20mm, steel column specification 250mm×250mm×10mm, net ring specification R19 / 3 / 300; Energy dissipation parameters: Energy consuming device A is equipped with 3×20mm steel rods, and energy consuming device B is equipped with 2×18mm steel rods; Boundary condition parameters: The overall dimensions of the reaction wall are 60m × 25m, and the interval between the anchor points of the reaction wall is 0.5m.

[0056] Furthermore, semantic processing of all-dimensional design parameters is performed on layers to establish a hierarchical component system for the protective net structure, including the main structure layer (column system, ring network system), connection system layer (shackles, node connectors), constraint system layer (support ropes, anchor ropes, auxiliary ropes), energy dissipation system layer (energy dissipators, buffer devices) and boundary system layer (reaction walls, anchor points).

[0057] S22. A constraint-driven parametric modeling mechanism is used to define the geometric shape of the hierarchical component system and the correlation control relationship between each structural component through multiple control parameters, thereby constructing a parametric geometric topology model.

[0058] In Rhino parametric modeling software, a standardized geometric topology model of a flexible protective net structure is constructed, and the protective net structure system is constructed in a hierarchical component manner. The complete definition of the geometric shape is achieved through 12 core control parameters: (1) span L, (2) column height H, (3, 4) empty lengths D1 and D2 of the inner and outer shackle areas of the middle column, (5) angle α between the upper anchor rope and the horizontal plane projection, (6) overall tilt angle β of the system, (7) ring net edge distance parameter E, (8) ring net radius R, (9) ring spacing S, (10) local rotation angle γ of the ring body, (11) geometric parameter W of the reaction wall, and (12) anchor point arrangement spacing P. By inputting all the design parameters into the model, the geometric parametric model of the flexible protective net structure is obtained. Figure 3 , Figure 4 and Figure 5 As shown.

[0059] S23. Using a layered export method, based on the parametric geometric topology model and the mechanical properties of each structural component, each type of structural component is exported as a preset data format.

[0060] S24. Based on the preset data format of each structural component type, generate a structural component coordination mesh of mixed unit type using the corresponding unit type.

[0061] S25, using a contact recognition algorithm, setting the contact pair definition, slip constraint and boundary condition between each structural component in the structural component coordination grid, and establishing a mechanical calculation model.

[0062] S26, generating a calculation grid model based on the mechanical calculation model, the calculation grid model being a standardized grid file.

[0063] The following is a unified description of S23-S26: In the implementation of multi-scale grid self-adaptive generation, a hierarchical export strategy is adopted, and the parameterized model is exported into STEP / IGES standard three-dimensional data format according to the component type and mechanical properties, to ensure the complete transmission of geometric information. A component-oriented grid generation strategy is established, linear components (rope type) are divided into beam elements, surface components (mesh) are divided into shell elements, and block components (columns, energy absorbers) are divided into solid elements, to realize the coordination of mixed element type grid division. Intelligent naming rules and contact recognition algorithms are integrated to automatically set the contact pair definition, slip constraint and boundary condition between components, and to establish a complete mechanical calculation model. A standardized grid file template is generated to provide a unified data interface for subsequent material definition and load application.

[0064] Specifically, the Rhino geometry topology model is exported into iges files (such as Figure 6 (a)) according to layers, including: column system, ring net system, shackle, node connector, support rope, anchor rope, auxiliary rope, energy absorber, buffer device, counterforce wall, anchor point, etc. Different layers represent different component objects.

[0065] Further, the iges file is imported into the pre- and post-processing software of LS-DYNA for automatic meshing and checking, and each component object is named according to the order of standardized modeling. In the grid division, each component object is a Part object (such as Figure 6 (b)).

[0066] Then, SET_NODE_LIST point set setting, ELEMENT_SEATBELT_SLIPRING safety belt slip ring setting (such as Figure 6 (c)) are performed.

[0067] Finally, the rockfall k file (stone.k) of a specific energy level is merged to obtain the k file (Modify_K.k) to be defined (such as Figure 6 (d)).

[0068] S27, performing semantic recognition on the calculation grid model, configuring material properties for each structural component based on the semantic recognition result, and generating a keyword file based on the configuration data of each structural component.

[0069] A material attribute automatic matching system based on semantic recognition is constructed to realize automatic configuration of material parameters, contact definition, load conditions, and automatic generation of keyword files.

[0070] The system sorts out the keyword types of the calculation model, calibrates the standard K file, and contains the geometric coordinate information, material information, load attribute, contact information, etc. of the component; Split each keyword to establish a standard keyword library, including boundary, contact, section, material, load, initial state, etc. Save the user input parameters in json format, such as the parameter content shown in Table 1: Table 1 User input parameter example

[0071] Read the user input parameters, keyword library, and keyword file (k file) to be defined by script to automatically generate a keyword file (k file) that can be used for calculation.

[0072] S28, input the keyword file into the pre-trained large language model for compliance verification, which includes syntax integrity check, physical dimension consistency verification, parameter reasonableness evaluation, and calculation convergence prediction.

[0073] Integrate the intelligent verification engine of the large language model to perform syntax integrity check, physical dimension consistency verification, parameter reasonableness evaluation, and calculation convergence prediction on the keyword file.

[0074] For example, in the LS-DYNA keyword file of flexible passive protection net structure analysis, there is a problem of contact definition, as shown in Figure 7 (a).

[0075] After the intelligent verification engine analyzes the above keyword file, the following verification report is output: =============================================== LS-DYNA keyword file intelligent verification report File name: analysis.k Verification time: 2025-05-31 14:30:25 Verification engine version: Claude-4-Sonnet-FEM-V1.0

Critical error

Recommended correction

Warning

[0076] Check confidence: 95% Correction priority: High (contact definition error must be corrected) Expected impact: Serious (may cause calculation failure) =============================================== After verification, modify the keyword file (.k file), and the modified contact relationship definition is shown in Figure 7 (b).

[0077] S29, performing structural mechanical performance analysis on the keyword file passed the check, and extracting corresponding analysis data in the analysis result according to a preset key mechanical index.

[0078] S210, when the analysis data does not meet the preset key mechanical index, adjusting the corresponding parameter item in the full-dimensional design parameter until all the analysis data meet the preset key mechanical index, and obtaining at least one target protective net structure.

[0079] Perform structural mechanical performance automatic analysis based on parallel computing architecture, and intelligently extract key mechanical indexes.

[0080] The calculation program uses LS-RUN for parallel computing, and after the calculation is completed, the post-processing software LS-PREPOST is used to observe the rockfall impact deformation form, as shown in Figure 8 , with the help of LS-READER, the key mechanical indexes are intelligently extracted by Python program, and four key results of system response are analyzed, such as rockfall impact force (such as Figure 9 ), peak value of internal force of supporting rope (such as Figure 10 ), peak value of internal force of supporting steel column (such as Figure 11 ) and peak value of internal force of pull anchor rope (such as Figure 12 ).

[0081] A closed-loop parameter optimization iteration framework is constructed, and the whole process of automatic analysis and optimization cycle of “parameter updating → geometric reconstruction → mesh regeneration → calculation analysis → result evaluation” is automatically executed. In the form of human-computer interaction, the above steps are repeated, and the key steps of flexible protective net structure modeling and calculation are automatically completed, and the protective net structure system design is realized.

[0082] The application provides a protective net structure design method, which comprises the following steps: obtaining full-dimension design parameters of an initially designed protective net structure; performing layer semantic processing on the full-dimension design parameters to obtain an association control relationship among a plurality of structural components and each structural component, and constructing a parameterized geometric topology model; determining mechanical properties of each structural component based on the full-dimension design parameters; generating a calculation grid model based on the mechanical properties of each structural component and the parameterized geometric topology model; matching material properties for each structural component based on the calculation grid model, and generating a keyword file; performing compliance verification on the keyword file, and determining at least one target protective net structure based on the keyword file that passes the verification. According to the method, an intelligent geometric topology model with multi-dimension parameter constraints is established, efficient parameterized modeling of the protective net structure is realized, and the modeling cycle is significantly shortened; through a multi-scale grid adaptive generation mechanism, the quality and accuracy of the calculation grid are ensured, and the analysis reliability is improved; through an intelligent verification engine integrated with a large language model, the error rate of the keyword file is greatly reduced, and the risk of calculation failure is reduced; through a closed-loop parameter optimization iteration framework, automatic adjustment and optimization of the design parameters are realized, and the design efficiency is improved. The method significantly improves the modeling efficiency and analysis accuracy of the protective net structure design, solves key technical problems such as long modeling cycle, difficult parameter adjustment and high calculation error rate in the traditional method, and provides important technical support for intelligent design of protective engineering.

[0083] The protective net structure design device provided by the application is described below, and the protective net structure design device described below can be correspondingly referred to the protective net structure design method described above.

[0084] Figure 13 FIG. 1 is a structural schematic diagram of the protective net structure design device provided by the application, and specifically comprises: The acquisition module 1301 is configured to acquire full-dimension design parameters of an initially designed protective net structure. For details, refer to the related description of the method embodiment described above.

[0085] The construction module 1302 is configured to perform layer semantic processing on the full-dimension design parameters to obtain an association control relationship among a plurality of structural components and each structural component, and construct a parameterized geometric topology model. For details, refer to the related description of the method embodiment described above.

[0086] The determination module 1303 is configured to determine mechanical properties of each structural component based on the full-dimension design parameters. For details, refer to the related description of the method embodiment described above.

[0087] The generation module 1304 is used to generate a computational mesh model based on the mechanical properties of each structural component and the parametric geometric topology model. For detailed explanations, please refer to the relevant descriptions in the above method embodiments; they will not be repeated here.

[0088] The generation module 1304 is further configured to match material properties for each structural component based on the computational mesh model and generate a keyword file. For detailed explanations, please refer to the relevant descriptions in the above method embodiments; they will not be repeated here.

[0089] The determining module 1303 is further configured to perform compliance verification on the keyword file and determine at least one target protection network structure based on the verified keyword file. For detailed explanations, please refer to the relevant descriptions in the above method embodiments; they will not be repeated here.

[0090] Figure 14 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 14 As shown, the electronic device may include: a processor 1410, a communications interface 1420, a memory 1430, and a communication bus 1440, wherein the processor 1410, the communications interface 1420, and the memory 1430 communicate with each other through the communication bus 1440. The processor 1410 can call logical instructions in the memory 1430 to execute a protective net structure design method. The method includes: performing layer semantic processing on the full-dimensional design parameters to obtain multiple structural components and the correlation control relationships between each structural component, and constructing a parametric geometric topology model; determining the mechanical properties of each structural component based on the full-dimensional design parameters; generating a computational mesh model based on the mechanical properties of each structural component and the parametric geometric topology model; matching material properties for each structural component based on the computational mesh model and generating a keyword file; performing compliance verification on the keyword file, and determining at least one target protective net structure based on the verified keyword file.

[0091] Further, the logic instructions in the memory 1430 described above can be implemented in the form of software functional units and sold or used as independent products, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0092] In another aspect, the present application also provides a computer program product, which comprises a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program is executed by a processor, so that the computer can execute the protective net structure design method provided by the above-mentioned methods. The method comprises: performing layer semantic processing on the full-dimensional design parameters to obtain the correlation control relationship between a plurality of structure components and each structure component, and constructing a parameterized geometric topology model; determining the mechanical properties of each structure component based on the full-dimensional design parameters; generating a calculation grid model based on the mechanical properties of each structure component and the parameterized geometric topology model; matching material properties for each structure component based on the calculation grid model, and generating a keyword file; performing compliance verification on the keyword file, and determining at least one target protective net structure based on the keyword file that passes the verification.

[0093] In another aspect, the present application also provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the protective net structure design method provided by the above-mentioned methods. The method comprises: performing layer semantic processing on the full-dimensional design parameters to obtain the correlation control relationship between a plurality of structure components and each structure component, and constructing a parameterized geometric topology model; determining the mechanical properties of each structure component based on the full-dimensional design parameters; generating a calculation grid model based on the mechanical properties of each structure component and the parameterized geometric topology model; matching material properties for each structure component based on the calculation grid model, and generating a keyword file; performing compliance verification on the keyword file, and determining at least one target protective net structure based on the keyword file that passes the verification.

[0094] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0095] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0096] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of designing a protective net structure, characterized by, The method comprises the following steps: acquiring full-dimension design parameters of an initial design of a protective net structure; performing layer semantic processing on the full-dimension design parameters to obtain a plurality of structural components and a correlation control relationship between each structural component, and constructing a parameterized geometric topology model; determining the mechanical properties of each structural component based on the full-dimension design parameters; generating a calculation grid model based on the mechanical properties of each structural component and the parameterized geometric topology model; matching material properties for each structural component based on the calculation grid model, and generating a keyword file; performing compliance verification on the keyword file, and determining at least one target protective net structure based on the keyword file that passes the verification.

2. The method of claim 1, wherein, The layer semantic processing on the full-dimension design parameters to obtain a plurality of structural components and a correlation control relationship between each structural component, and constructing a parameterized geometric topology model, comprises: performing layer semantic processing on the full-dimension design parameters to construct a hierarchical component system of the initial design of the protective net structure; based on a constraint-driven parameterized modeling mechanism, defining the geometric morphology of the hierarchical component system and the correlation control relationship between each structural component through a plurality of control parameters, and constructing a parameterized geometric topology model.

3. The method of claim 1, wherein, The generation of a calculation grid model based on the mechanical properties of each structural component and the parameterized geometric topology model, comprises: adopting a hierarchical export method to export each type of structural component into a preset data format based on the parameterized geometric topology model and the mechanical properties of each structural component; based on the preset data format of each type of structural component, applying a corresponding unit type to generate a structural component coordination grid of a mixed unit type; adopting a contact recognition algorithm to set the definition of contact pairs, sliding constraints and boundary conditions between each structural component in the structural component coordination grid, and establishing a mechanical calculation model; generating a calculation grid model based on the mechanical calculation model, wherein the calculation grid model is a standardized grid file.

4. The method according to claim 1 or 3, characterized in that, The matching of material properties for each structural component based on the calculation grid model, and the generation of a keyword file, comprises: performing semantic recognition on the calculation grid model, and configuring material properties for each structural component based on the semantic recognition result, and generating a keyword file based on the configuration data of each structural component.

5. The method of claim 4, wherein, The compliance verification on the keyword file, comprises: inputting the keyword file into a pre-trained large language model for compliance verification, wherein the compliance verification includes syntax integrity checking, physical dimension consistency verification, parameter reasonableness evaluation and calculation convergence prediction.

6. The method of claim 5, wherein, The determination of at least one target protective net structure based on the keyword file that passes the verification, comprises: performing structural mechanics performance analysis on the keyword file that passes the verification, and extracting corresponding analysis data in the analysis result according to a preset key mechanical index; when the analysis data does not meet the preset key mechanical index, adjusting the corresponding parameter item in the full-dimension design parameters until all the analysis data meet the preset key mechanical index, and obtaining at least one target protective net structure.

7. A protective net structure design apparatus characterized by comprising: The method comprises the following steps: An acquisition module is configured to acquire full-dimension design parameters of an initial design of a protective net structure; A construction module is configured to perform layer semantic processing on the full-dimension design parameters to obtain a plurality of structure components and an association control relationship between each structure component, and to construct a parameterized geometric topology model; A determination module is configured to determine mechanical properties of each structure component based on the full-dimension design parameters; A generation module is configured to generate a calculation grid model based on the mechanical properties of each structure component and the parameterized geometric topology model; The generation module is further configured to match material properties for each structure component based on the calculation grid model, and to generate a keyword file; The determination module is further configured to perform compliance verification on the keyword file, and to determine at least one target protective net structure based on the keyword file that passes the verification.

8. An electronic device comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, The processor executes the computer program to implement the protective net structure design method of any one of claims 1 to 6. 9.A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the protective net structure design method of any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the protective net structure design method of any one of claims 1 to 6.

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